Primary Eating
Sample Count: 10725
Self-Reported Response: Total amount of time spent in primary eating and drinking (in minutes)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.00 30.00 60.00 68.66 90.00 508.00
https://www.bls.gov/tus/ehmintcodebk1416.pdf
https://www.kaggle.com/bls/eating-health-module-dataset
https://www.bls.gov/tus/ehdatafiles.htm
https://www.ers.usda.gov/publications/pub-details/?pubid=42817
Data from the U.S. Dept of Agriculture survey containing information about eating habits and health for respondents in 2014, including variables about
primary eating
secondary eating (eating while performing an activity)
grocery shopping
meal preparation
food assistance participation
general health, height, and weight
household income
There are a total of 11212 samples in the dataset. Here is the data availability for each variable.
Here is a plot of the correlation matrix for the variables.
Below is a list of the top 20 positively correlated variables.
Below is a list of the top 20 negatively correlated variables.
Sample Count: 10637
Calculation: weight (kg) / [height (m)]2
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 13.00 23.60 26.60 27.77 30.70 73.60
Sample Count: 10712
Self-Reported Response: How much do you weight without shoes? (in pounds)
Note: EUWGT is bottomcoded to 98 lbs and topcoded to 340 lbs.
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 98.0 145.0 170.0 176.2 200.0 340.0
Sample Count: 11051
Self-Reported Response: How tall are you without shoes? (in inches)
Note: EUHGT is bottomcoded to 56 inches and topcoded to 77 inches
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 56.00 64.00 66.00 66.62 70.00 77.00
Sample Count: 11128
Self-Reported Response: In general, would you say that your physical health was excellent, very good, good, fair, or poor?
Self-Reported Response: During the past 7 days, did you participate in any physical activities or exercises for fitness and health such as running, bicycling, working out in a gym, walking for exercise, or playing sports? (Sample Count: 11155)
Self-Reported Response: How many times over the past 7 days did you take part in these activities? (Sample Count: 6993)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 3.000 4.000 4.193 5.000 38.000
Self-Reported Response: Which of the following statements best describes the amount of food eaten in your household in the last 30 days - enough food to eat, sometimes not enough to eat, or often not enough to eat? (Sample Count: 11161)
Self-Reported Response: Thinking back over the last 7 days, did you purchase any: prepared food from a deli, carry-out, delivery food, or fast food? (Sample Count: 11169)
Self-Reported Response: How many times in the last 7 days did you purchase: prepared food from a deli, carry-out, delivery food, or fast food? (Sample Count: 6440)
Self-Reported Response: Where do you get the majority of your groceries? (Sample Count: 8208)
Self-Reported Response: What is the primary reason you shop there? (Sample Count: 8131)
Self-Reported Response: Not including plain water, were there any other times yesterday when you were drinking any beverages? (Sample Count: 11202)
Self-Reported Response: Were any of the beverages soft drinks such as cola, root beer, or gingerale? (Sample Count: 7513)
Self-Reported Response: Was the soft drink diet, regular or did you have both kinds? (Sample Count: 3037)
Sample Count: 10725
Self-Reported Response: Total amount of time spent in primary eating and drinking (in minutes)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.00 30.00 60.00 68.66 90.00 508.00
Sample Count: 6061
Self-Reported Response: Total amount of time spent in secondary eating and drinking (in minutes)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.00 10.00 15.00 31.02 30.00 990.00
Self-Reported Response: Last month, was your total household income before taxes more or less than (amount) per month? (Sample Count: 10932)
Self-Reported Response: In the past 30 days, did you or any member of this household receive SNAP or food stamp benefits? (Sample Count: 11135)
Self-Reported Response: In the last 30 days, did you or any member of your household receive benefits from the WIC program, that is, the Women, Infants, and Children program? (Sample Count: 5805)
Self-Reported Response: Change in spouse or unmarried partner’s labor force status or full time or part time employment status between CPS and ATUS (Sample Count: 5677)
## `geom_smooth()` using method = 'gam'
## `geom_smooth()` using method = 'gam'
The indepedent samples t-test below shows with high confidence that people who exercise have, on average, a lower BMI than people who don’t exercise.
##
## Welch Two Sample t-test
##
## data: x and y
## t = -12.917, df = 7218.6, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.904665 -1.402735
## sample estimates:
## mean of x mean of y
## 27.15812 28.81182
## `geom_smooth()` using method = 'gam'
## `geom_smooth()` using method = 'gam'
## `geom_smooth()` using method = 'gam'
## `geom_smooth()` using method = 'gam'
The indepedent samples t-test below shows with high confidence that the sample mean for BMI in the SNAP program is higher than the sample mean for people not in the program.
##
## Welch Two Sample t-test
##
## data: x and y
## t = 8.3221, df = 1261.2, p-value = 2.221e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 1.469371 2.375842
## sample estimates:
## mean of x mean of y
## 29.49899 27.57639
The indepedent samples t-test below shows with high confidence that the sample mean for BMI in the WIC program is higher than the sample mean for people not in the program.
##
## Welch Two Sample t-test
##
## data: x and y
## t = 4.57, df = 397.73, p-value = 6.519e-06
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.9762109 2.4502044
## sample estimates:
## mean of x mean of y
## 29.16994 27.45674
| Dependent variable: | |||||||
| BMI | |||||||
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | |
| Exercise_Freq | -0.280*** | -0.271*** | -0.137*** | -0.278*** | -0.140*** | -0.139*** | |
| (0.025) | (0.025) | (0.023) | (0.025) | (0.023) | (0.023) | ||
| SNAP | -1.856*** | -0.677** | |||||
| (0.235) | (0.235) | ||||||
| Excellent_Health | -5.767*** | -5.443*** | |||||
| (0.397) | (0.401) | ||||||
| Very_Good_Health | -4.052*** | -3.843*** | |||||
| (0.395) | (0.397) | ||||||
| Good_Health | -1.580*** | -1.458*** | |||||
| (0.402) | (0.403) | ||||||
| Fair_Health | 0.108 | 0.167 | |||||
| (0.438) | (0.438) | ||||||
| Fast_Food_Freq | 0.147*** | ||||||
| (0.029) | |||||||
| Health | 1.748*** | 1.708*** | |||||
| (0.061) | (0.061) | ||||||
| Constant | 28.538*** | 32.035*** | 30.716*** | 30.903*** | 28.294*** | 23.799*** | 25.183*** |
| (0.093) | (0.459) | (0.385) | (0.387) | (0.105) | (0.167) | (0.503) | |
| Observations | 10,221 | 10,221 | 10,221 | 10,221 | 10,221 | 10,221 | 10,221 |
| R2 | 0.018 | 0.026 | 0.104 | 0.108 | 0.020 | 0.103 | 0.104 |
| Adjusted R2 | 0.018 | 0.026 | 0.104 | 0.108 | 0.020 | 0.103 | 0.104 |
| Residual Std. Error | 6.119 (df = 10219) | 6.093 (df = 10218) | 5.844 (df = 10216) | 5.831 (df = 10215) | 6.111 (df = 10218) | 5.847 (df = 10218) | 5.844 (df = 10217) |
| Note: | p<0.05; p<0.01; p<0.001 | ||||||
AIC (1) = 6.60410^{4}
AIC (2) = 6.59510^{4}
AIC (3) = 6.5110^{4}
AIC (4) = 6.50610^{4}
AIC (5) = 6.60110^{4}
AIC (6) = 6.51110^{4}
AIC (7) = 6.5110^{4}
| Dependent variable: | ||||
| Health | ||||
| (1) | (2) | (3) | (4) | |
| Exercise_Freq | -0.081*** | -0.067*** | ||
| (0.005) | (0.004) | |||
| BMI | 0.054*** | 0.050*** | ||
| (0.002) | (0.002) | |||
| Fast_Food_Freq | -0.022*** | -0.032*** | ||
| (0.005) | (0.004) | |||
| Constant | 2.711*** | 0.996*** | 2.533*** | 1.327*** |
| (0.016) | (0.048) | (0.014) | (0.051) | |
| Observations | 10,221 | 10,221 | 10,221 | 10,221 |
| R2 | 0.050 | 0.099 | 0.002 | 0.137 |
| Adjusted R2 | 0.050 | 0.099 | 0.002 | 0.137 |
| Residual Std. Error | 1.033 (df = 10219) | 1.006 (df = 10219) | 1.058 (df = 10219) | 0.984 (df = 10217) |
| Note: | p<0.05; p<0.01; p<0.001 | |||
AIC (1) = 2.96710^{4}
AIC (2) = 2.91210^{4}
AIC (3) = 3.01710^{4}
AIC (4) = 2.86910^{4}